Machine Learning Explainability

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Machine Learning Explainability provided by Kaggle is a comprehensive online course, which lasts for 4 hours worth of material. Machine Learning Explainability is taught by Dan Becker. Upon completion of the course, you can receive an e-certificate from Kaggle. The course is taught in Englishand is Free Certificate. Visit the course page at Kaggle for detailed price information.

via Kaggle

4 hours worth of material

Self Paced

Extract human-understandable insights from any model.
- Why and when do you need insights?
- What features does your model think are important?
- How does each feature affect your predictions?
- Understand individual predictions
- Aggregate SHAP values for even more detailed model insights

Syllabus

- Use Cases for Model Insights
- Permutation Importance
- Partial Plots
- SHAP Values
- Advanced Uses of SHAP Values

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Language

English
Certificate
Certificate Available
Date of Start
30th December, 2022
Price
Free Certificate
Provider
Kaggle
Taught By

Dan Becker
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Machine Learning Explainability

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